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In the last decade, smart farming is getting more attention. The mobile robots with autonomous and safe navigation systems have been studied for various agricultural applications and challenges including path planning, trajectory planning, motion control, mapping, and localization. This paper presents the path planning of Agri-bot for the monitoring of cauliflower’s health. The agriculture field environment for cauliflower is created in CoppeliaSim software and Agri-bot is imported in the same software. Further co-simulation with Matlab/Simulink is performed. A GPS sensor is installed at the center of the Agri-bot to measure its coordinate in real time. The Agri-bot stops at a certain distance and takes turns. The Bezier curve algorithm is created to follow the path planning for cauliflower rows during the turns. It is noted that the proposed algorithm enhances the performance of the central path of the Agri-robot to obey the central line of the cauliflower’s row. As a result, there will be accuracy in its health monitoring.

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Path Planning of Agri-Bot for Cauliflower’s Health Monitoring Using Bezier Curve

  • 会议论文

  • 发表日期：

    2026年

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  • Prabin Kumar Jha,
  • Sakshi Jha,
  • Annapurna Paruya,
  • Arpan Baul

摘要

In the last decade, smart farming is getting more attention. The mobile robots with autonomous and safe navigation systems have been studied for various agricultural applications and challenges including path planning, trajectory planning, motion control, mapping, and localization. This paper presents the path planning of Agri-bot for the monitoring of cauliflower’s health. The agriculture field environment for cauliflower is created in CoppeliaSim software and Agri-bot is imported in the same software. Further co-simulation with Matlab/Simulink is performed. A GPS sensor is installed at the center of the Agri-bot to measure its coordinate in real time. The Agri-bot stops at a certain distance and takes turns. The Bezier curve algorithm is created to follow the path planning for cauliflower rows during the turns. It is noted that the proposed algorithm enhances the performance of the central path of the Agri-robot to obey the central line of the cauliflower’s row. As a result, there will be accuracy in its health monitoring.